Research on Workstation Planning of Spacecraft Pulsating Assembly Lines Based on Improved Genetic Algorithm
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-4399-5_50
Reference10 articles.
1. Chen, S., Zhang, N., Wang, A.: Pulsating assembly production personnel scheduling technology based on improved genetic algorithm. In: 2022 IEEE International Conference on Mechatronics and Automation (ICMA), pp. 1346–1351 (2022)
2. Zhang, C., Tu, H.: The application of rule-based genetic algorithm in job-shop production scheduling. In: 2010 International Conference on Computing, Control and Industrial Engineering, pp. 20–23 (2010)
3. Zhang, Q., Li, J., Zhang, B., Liang, W.: Research on multi-objective flexible job shop scheduling scheme based on discrete particle swarm optimization. In: 2023 2nd International Symposium on Sensor Technology and Control (ISSTC), pp. 134–138 (2023)
4. Wang, X., Lu, J., Chen, R., Xu, M., Xia, L.: Research on design and planning of pulsating aero-engine assembly line based on plant simulation. In: 2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC), pp. 591–595 (2020)
5. Liao, L.-M., Huang, C.-J., Lin, C.-S.: Multi-agent system for balancing mixed-model assembly lines with bi-objective. In: 2010 International Conference on Manufacturing Automation, pp. 191–195 (2010)
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